{"attempt":1,"datasets":{"d":{"description_shown":"NIST StRD Norris (36 observations): outcome y, predictors x1, const = 1","file_sha256":null,"frame_sha256":null,"role":"agent","transforms":[]}},"epoch":1,"event":"sample_init","question":"","question_sha256":"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855","run_id":"20261015T171252Z-suite-strd-scripted-d8a322","seq":0,"skills":[],"task_id":"strd.norris.explicit_constant","task_sha256":"be46088fea39d7e9823717a13bc14d4d977bcdd13c9fbef2f6cd00014f756a51","timestamp":"2026-10-15T17:12:52.543030Z"}
{"arguments":{"cluster":null,"controls":[],"dataset":"d","fe":[],"intercept":false,"level":0.95,"se":"classical","subset":null,"weights":null,"x":["const","x1"],"y":"y"},"attempt":1,"cached":false,"call_id":"call_8ac2502d","card_version":"0.1.0","code_version":"2925aeab2262","dataset_digests":{"d":"ff612b50e0df07b9c883fc6b522419c61658433dfce9edee8f7b52a2aa893792"},"decided_by":"code","duration_ms":1.31312501616776,"epoch":1,"error":null,"event":"tool","informed_by":[],"input_digest":"c59c6477c35eaa87a4a8f6d542625e6ef2a8df0bb504d2b93ea409d0833f78d2","llm_name":null,"output_digest":"ab72f0efd56110e472b2f9125ee961187c2b29cddd0f62acc09ff535a9f9a9cf","rationale":"","replay_class":"replayed","result":{"assumptions":["the conditional mean of the outcome is linear in the regressors","errors are independent and have the same variance for every observation"],"call_id":"call_8ac2502d","datasets":{},"diagnostics":[{"flag":false,"name":"n_obs","note":"observations used","value":36},{"flag":false,"name":"k","note":"parameters estimated, fixed-effect dummies included","value":2},{"flag":false,"name":"r2","note":"uncentred: the model has no constant","value":0.9999974890237203},{"flag":false,"name":"df_resid","note":"","value":34},{"flag":false,"name":"se_type","note":"classical (homoskedastic) standard errors","value":"classical"},{"flag":false,"name":"n_clusters","note":"errors not clustered","value":null}],"figures":[{"ci_high":0.2108205045535413,"ci_level":0.95,"ci_low":-0.7354666521015948,"derivation":{"note_pt":"","steps":[{"formula":"","result":-0.26232307377402675,"terms":[{"note":"","symbol":"n","unit":"observa\u00e7\u00f5es","value":36.0},{"note":"","symbol":"k","unit":"par\u00e2metros","value":2.0}],"text_pt":"Coeficiente de const na regress\u00e3o por m\u00ednimos quadrados ordin\u00e1rios de y sem constante.","unit":""},{"formula":"ep = \u221aV_jj","result":0.23281823430115484,"terms":[{"note":"diagonal da matriz de covari\u00e2ncia","symbol":"V_jj","unit":"","value":0.05420433022310743}],"text_pt":"Erro-padr\u00e3o cl\u00e1ssico (homoced\u00e1stico): a raiz da vari\u00e2ncia estimada do coeficiente.","unit":""},{"formula":"IC = \u03b2 \u00b1 c \u00b7 ep","result":null,"terms":[{"note":"","symbol":"\u03b2","unit":"","value":-0.26232307377402675},{"note":"quantil 0.975","symbol":"c","unit":"","value":2.0322445093177186},{"note":"","symbol":"ep","unit":"","value":0.23281823430115484}],"text_pt":"Intervalo de 95% de confian\u00e7a: a estimativa mais ou menos o valor cr\u00edtico da distribui\u00e7\u00e3o t de Student com 34 graus de liberdade vezes o erro-padr\u00e3o.","unit":""}]},"key":"coef.const","label":"Coefficient on const in the regression of y","se":0.23281823430115484,"unit":"","value":-0.26232307377402675},{"ci_high":1.0029902703053308,"ci_level":0.95,"ci_low":1.0012433657355782,"derivation":{"note_pt":"","steps":[{"formula":"","result":1.0021168180204545,"terms":[{"note":"","symbol":"n","unit":"observa\u00e7\u00f5es","value":36.0},{"note":"","symbol":"k","unit":"par\u00e2metros","value":2.0}],"text_pt":"Coeficiente de x1 na regress\u00e3o por m\u00ednimos quadrados ordin\u00e1rios de y sem constante.","unit":""},{"formula":"ep = \u221aV_jj","result":0.00042979684819994114,"terms":[{"note":"diagonal da matriz de covari\u00e2ncia","symbol":"V_jj","unit":"","value":1.8472533072260324e-07}],"text_pt":"Erro-padr\u00e3o cl\u00e1ssico (homoced\u00e1stico): a raiz da vari\u00e2ncia estimada do coeficiente.","unit":""},{"formula":"IC = \u03b2 \u00b1 c \u00b7 ep","result":null,"terms":[{"note":"","symbol":"\u03b2","unit":"","value":1.0021168180204545},{"note":"quantil 0.975","symbol":"c","unit":"","value":2.0322445093177186},{"note":"","symbol":"ep","unit":"","value":0.00042979684819994114}],"text_pt":"Intervalo de 95% de confian\u00e7a: a estimativa mais ou menos o valor cr\u00edtico da distribui\u00e7\u00e3o t de Student com 34 graus de liberdade vezes o erro-padr\u00e3o.","unit":""}]},"key":"coef.x1","label":"Coefficient on x1 in the regression of y","se":0.00042979684819994114,"unit":"","value":1.0021168180204545}],"notes":"","reason":"","status":"ok","tables":{"coefficients":[{"ci_high":0.2108205045535413,"ci_low":-0.7354666521015948,"coef":-0.26232307377402675,"p":0.26774674233321216,"se":0.23281823430115484,"t":-1.1267290749860548,"term":"const"},{"ci_high":1.0029902703053308,"ci_low":1.0012433657355782,"coef":1.0021168180204545,"p":4.654040852473972e-90,"se":0.00042979684819994114,"t":2331.605785890432,"term":"x1"}]},"tool":"infer.ols","version":"0.1.0","warnings":[]},"result_for_model_ref":null,"result_sha256":"83547ddc5d6c3e9dc3271d52d0bb72b9d89b6032b36f37fb7432123c04702841","run_id":"20261015T171252Z-suite-strd-scripted-d8a322","seq":1,"synthetic":false,"task_id":"strd.norris.explicit_constant","timestamp":"2026-10-15T17:12:52.543030Z","tool_id":"infer.ols","turn_id":null}
{"attempt":1,"check":{"check_index":0,"detail":"status ok","expected":"ok","failure_class":null,"kind":"status","observed":"ok","passed":true,"required":true,"source_id":null,"tolerance":null,"trace_call_id":null,"weight":1.0},"epoch":1,"event":"score","run_id":"20261015T171252Z-suite-strd-scripted-d8a322","seq":2,"task_id":"strd.norris.explicit_constant","timestamp":"2026-10-15T17:12:52.544446Z"}
{"attempt":1,"check":{"check_index":1,"detail":"figure coef.const: LRE 14.06 (min 9.0) \u2014 B0","expected":-0.262323073774029,"failure_class":null,"kind":"figure_lre","observed":14.062,"passed":true,"required":true,"source_id":null,"tolerance":null,"trace_call_id":null,"weight":1.0},"epoch":1,"event":"score","run_id":"20261015T171252Z-suite-strd-scripted-d8a322","seq":3,"task_id":"strd.norris.explicit_constant","timestamp":"2026-10-15T17:12:52.544446Z"}
{"attempt":1,"check":{"check_index":2,"detail":"figure coef.x1: LRE 14.35 (min 9.0) \u2014 B1","expected":1.00211681802045,"failure_class":null,"kind":"figure_lre","observed":14.353,"passed":true,"required":true,"source_id":null,"tolerance":null,"trace_call_id":null,"weight":1.0},"epoch":1,"event":"score","run_id":"20261015T171252Z-suite-strd-scripted-d8a322","seq":4,"task_id":"strd.norris.explicit_constant","timestamp":"2026-10-15T17:12:52.544446Z"}
{"attempt":1,"check":{"check_index":3,"detail":"figure coef.const.se: LRE 13.92 (min 9.0) \u2014 SE of B0","expected":0.232818234301152,"failure_class":null,"kind":"figure_lre","observed":13.915,"passed":true,"required":true,"source_id":null,"tolerance":null,"trace_call_id":null,"weight":1.0},"epoch":1,"event":"score","run_id":"20261015T171252Z-suite-strd-scripted-d8a322","seq":5,"task_id":"strd.norris.explicit_constant","timestamp":"2026-10-15T17:12:52.544446Z"}
{"attempt":1,"check":{"check_index":4,"detail":"figure coef.x1.se: LRE 14.02 (min 9.0) \u2014 SE of B1","expected":0.000429796848199937,"failure_class":null,"kind":"figure_lre","observed":14.018,"passed":true,"required":true,"source_id":null,"tolerance":null,"trace_call_id":null,"weight":1.0},"epoch":1,"event":"score","run_id":"20261015T171252Z-suite-strd-scripted-d8a322","seq":6,"task_id":"strd.norris.explicit_constant","timestamp":"2026-10-15T17:12:52.544446Z"}
